Ario Sadafi

According to our database, Ario Sadafi authored at least 17 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multimodal Analysis of White Blood Cell Differentiation in Acute Myeloid Leukemia Patients using a β-Variational Autoencoder.

Gizem Mert, Ario Sadafi, Raheleh Salehi, Nassir Navab, Carsten Marr

CoRR, 2024

Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images.

Michael Deutges, Ario Sadafi, Nassir Navab, Carsten Marr

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Topologically-Regularized Multiple Instance Learning for Red Blood Cell Disease Classification.

Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Carsten Marr, Bastian Rieck

CoRR, 2023

A Continual Learning Approach for Cross-Domain White Blood Cell Classification.

Ario Sadafi, Raheleh Salehi, Armin Gruber, Sayedali Shetab Boushehri, Pascal Giehr, Nassir Navab, Carsten Marr

Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

BEL: A Bag Embedding Loss for Transformer Enhances Multiple Instance Whole Slide Image Classification.

Daniel Sens, Ario Sadafi, Francesco Paolo Casale, Nassir Navab, Carsten Marr

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-Based Multiple Instance Learning.

Ario Sadafi, Nassir Navab, Carsten Marr

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images.

Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr

Proceedings of the Information Processing in Medical Imaging, 2023

A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia Subtypes.

Ario Sadafi, Matthias Hehr, Nassir Navab, Carsten Marr

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification.

Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification.

Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks.

Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias.

Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders.

Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy.

Ario Sadafi, Niklas Koehler, Asya Makhro, Anna Bogdanova, Nassir Navab, Carsten Marr, Tingying Peng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Red Blood Cells Segmentation: A Fully Convolutional Network Approach.

Ario Sadafi, Martin Radolko, Iosif Serafeimidis, Steffen Hadlak

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Multiple Mice Tracking: Occlusions Disentanglement using a Gaussian Mixture Model.

Ario Sadafi, Vasiliki-Maria Katsageorgiou, Huiping Huang, Francesco Papaleo, Vittorio Murino, Diego Sona

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2011

A Gate Level Analysis of Transient Faults Effects on Dual-Core Chip-Multi Processors.

Moslem Didehban, Ario Sadafi, Sajjad Salehi, Mohammad Bagher Chami

Proceedings of the Sixth International Conference on Availability, 2011